Modeling of the forwarding behavior in microblogging with adaptive interest
ZHOU Cangqi1,2, ZHAO Qianchuan1,2, LU Wenbo1,2
1. Center for Intelligent and Networked Systems, Department of Automation, Tsinghua University, Beijing 100084, China;
2. Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China
Abstract：The emergence of social media has given rise to research on how online users behave. This paper describes how users forward messages in microblogging services. The results shed light on the factors affecting user decisions. A precise description of user forwarding behavior can also support the intervention and control of information spreading. The lengths of activity periods in existing human dynamic models with adaptive interest were used to develop a modified model to describe user forwarding dynamics in microblogging services. This model takes into account both the differences in the durations of the activity cycles and the effect of circadian rhythms. The distribution of the time intervals between successive forwarding activities is heavy-tailed in the real data. The simulation results are consistent with the distribution in the real data which demonstrates the effectiveness and flexibility of this model.
周沧琦, 赵千川, 卢文博. 基于兴趣变化的微博用户转发行为建模[J]. 清华大学学报（自然科学版）, 2015, 55(11): 1163-1170.
ZHOU Cangqi, ZHAO Qianchuan, LU Wenbo. Modeling of the forwarding behavior in microblogging with adaptive interest. Journal of Tsinghua University(Science and Technology), 2015, 55(11): 1163-1170.
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